Stephen J. Nicholls
- Endocrinology, Diabetes and Metabolism top 0.05%
- Diabetes, Cardiovascular Risks, and Lipoproteins 109
- Surgery top 0.01%
- Lipoproteins and Cardiovascular Health 289
- Coronary Interventions and Diagnostics 153
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- Acute Myocardial Infarction Research 44
- Cancer Research top 0.2%
- Cancer, Lipids, and Metabolism 68
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- Cardiac Imaging and Diagnostics 174
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- Atherosclerosis and Cardiovascular Diseases 56
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- Cerebrovascular and Carotid Artery Diseases 48
- Co-authors
- Steven E. NissenE. Murat TuzcuPhilip J. BarterStanley L. HazenKathy WolskiChristie M. BallantyneRishi PuriA. Michael Lincoff
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Stephen J. Nicholls
633 papers receiving 29.8k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Endocrinology, Diabetes and Metabolism 9.0k
- Surgery 17.1k
- Cardiology and Cardiovascular Medicine 8.8k
- Cancer Research 3.5k
- Radiology, Nuclear Medicine and Imaging 4.9k
Countries citing papers authored by Stephen J. Nicholls
This map shows the geographic impact of Stephen J. Nicholls's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen J. Nicholls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Nicholls more than expected).
Fields of papers citing papers by Stephen J. Nicholls
This network shows the impact of papers produced by Stephen J. Nicholls. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen J. Nicholls. The network helps show where Stephen J. Nicholls may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen J. Nicholls, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 38 | |
| 9 | 2023 | 69 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 62 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 17 | |
| 14 | 2019 | 10 | |
| 15 | Abstract 14025: Evacetrapib Alone or in Combination With Different Statin Doses Results in Differential Effect on Lipoproteins and MACE Rates: The ACCELERATE Trial | 2018 | 1 |
| 16 | 2018 | 67 | |
| 17 | 2017 | 10 | |
| 18 | 2016 | 21 | |
| 19 | 2008 | 157 | |
| 20 | 2006 | 105 |
About Stephen J. Nicholls
Stephen J. Nicholls is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism, having authored 684 papers that have together received 30.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (289 papers), Cardiac Imaging and Diagnostics (174 papers), Coronary Interventions and Diagnostics (153 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (109 papers), Cancer, Lipids, and Metabolism (68 papers), Atherosclerosis and Cardiovascular Diseases (56 papers), Cerebrovascular and Carotid Artery Diseases (48 papers) and Acute Myocardial Infarction Research (44 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (9.0k citations), Surgery (17.1k citations) and Cardiology and Cardiovascular Medicine (8.8k citations). Stephen J. Nicholls has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Steven E. Nissen, E. Murat Tuzcu, Philip J. Barter, Stanley L. Hazen, Steven E. Nissen, Kathy Wolski, Christie M. Ballantyne, Rishi Puri, A. Michael Lincoff and Kiyoko Uno. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.